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cs.LG2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting
Yunyi Zhou, Zhixuan Chu, Yijia Ruan +3
Various probabilistic time series forecasting models have sprung up and shown remarkably good performance. However, the choice of model highly relies on the characteristics of the…
cs.LG2021★ 5 cited
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu, Ziqi Liu, Ge Jin +4
Time series forecasting is widely used in business intelligence, e.g., forecast stock market price, sales, and help the analysis of data trend. Most time series of interest are mac…